Associations between positive and negative social media experiences and sleep disturbance among young adults.

OBJECTIVES: We sought to examine the association of positive and negative experiences using social media (SM) and sleep disturbance in a national survey of U.S. young adults. METHODS: Experiences using SM were assessed with 2 items asking participants about the percentage of time using SM that involved a negative/positive experience that they were personally involved in. Sleep disturbance was assessed using the validated PROMIS 4-item short form. Ordinal logistic regression was used to examine associations between positive and negative SM experiences and high sleep disturbance, while controlling for relevant covariates. RESULTS: Although reporting high levels of negative experiences was significantly associated with greater odds of high sleep disturbance (AOR = 1.49, 95%CI = 1.18-1.89), reporting high levels of positive experiences was not associated with sleep disturbance. CONCLUSIONS: These findings suggest that more robust examinations of negative SM experiences-especially as they relate to sleep disturbance-may be warranted.

Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis.

OBJECTIVES: Individuals use social media with varying quantity, emotional, and behavioral at- tachment that may have differential associations with mental health outcomes. In this study, we sought to identify distinct patterns of social media use (SMU) and to assess associations between those patterns and depression and anxiety symptoms. METHODS: In October 2014, a nationally-representative sample of 1730 US adults ages 19 to 32 completed an online survey. Cluster analysis was used to identify patterns of SMU. Depression and anxiety were measured using respective 4-item Patient-Reported Outcome Measurement Information System (PROMIS) scales. Multivariable logistic regression models were used to assess associations between clus- ter membership and depression and anxiety. RESULTS: Cluster analysis yielded a 5-cluster solu- tion. Participants were characterized as "Wired," "Connected," "Diffuse Dabblers," "Concentrated Dabblers," and "Unplugged." Membership in 2 clusters - "Wired" and "Connected" - increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5-4.7; AOR = 3.7, 95% CI = 2.1-6.5, respectively, and AOR = 2.0, 95% CI = 1.3-3.2; AOR = 2.0, 95% CI = 1.3-3.1, respectively). CONCLUSIONS: SMU pattern characterization of a large population suggests 2 pat- terns are associated with risk for depression and anxiety. Developing educational interventions that address use patterns rather than single aspects of SMU (eg, quantity) would likely be useful.

Social Media Use Before Bed and Sleep Disturbance Among Young Adults in the United States: A Nationally Representative Study.

Study Objectives: Social media (SM) use has been positively associated with disturbed sleep among young adults. However, previous studies have not elucidated the specific importance of SM use immediately before bed. We aimed to determine the independent association of SM use during the 30 minutes before bed and disturbed sleep while controlling for covariates including total SM use throughout the day. Methods: We assessed a nationally representative sample of 1763 US young adults aged 19-32. Participants estimated to what extent they used SM in the 30 minutes before bed. We assessed sleep disturbance using the brief Patient-Reported Outcomes Measurement Information System (PROMIS®) Sleep Disturbance measure. After testing the proportional odds assumption, we used ordered logistic regression to compute the independent association between SM use before bed and sleep disturbance controlling for covariates, including total SM use. Results: Compared with those who rarely or very rarely check SM in the 30 minutes before bed, those who often or very often check SM at that time had an adjusted odds ratio of 1.62 (95% confidence interval = 1.31-2.34) for increased sleep disturbance. Additionally, we found a significant linear trend in the odds ratios between the frequency of checking SM in the 30 minutes before bed and increased sleep disturbance (p = .007). Results were consistent in all sensitivity analyses. Conclusions: SM use in the 30 minutes before bed is independently associated with disturbed sleep among young adults. Future work should use qualitative and experimental methods to further elucidate the directionality of-and mechanisms underlying-this association.

Systematic Review and Meta-Analysis of Inhaled Toxicants from Waterpipe and Cigarette Smoking.

OBJECTIVE: Waterpipe tobacco smoking (WTS) is an emerging trend worldwide. To inform public health policy and educational programming, we systematically reviewed the biomedical literature to compute the inhaled smoke volume, nicotine, tar, and carbon monoxide (CO) associated with a single WTS session and a single cigarette. METHODS: We searched seven biomedical bibliographic databases for controlled laboratory or natural environment studies designed to mimic human tobacco consumption. Included studies quantified the mainstream smoke of a single cigarette and/or single WTS session for smoke volume, nicotine, tar, and/or CO. We conducted meta-analyses to calculate summary estimates for the inhalation of each unique substance for each mode of tobacco consumption. We assessed between-study heterogeneity using chi-squared and I-squared statistics. RESULTS: Sufficient data from 17 studies were available to derive pooled estimates for inhalation of each exposure via each smoking method. Two researchers working independently abstracted measurement of smoke volume in liters, and nicotine, tar, and CO in milligrams. All numbers included in meta-analyses matched precisely between the two researchers (100% agreement, Cohen's k=1.00). Whereas one WTS session was associated with 74.1 liters of smoke inhalation (95% confidence interval [CI] 38.2, 110.0), one cigarette was associated with 0.6 liters of smoke (95% CI 0.5, 0.7). One WTS session was also associated with higher levels of nicotine, tar, and CO. CONCLUSIONS: One WTS session consistently exposed users to larger smoke volumes and higher levels of tobacco toxicants compared with one cigarette. These computed estimates may be valuable to emphasize in prevention programming.

Association of media literacy with cigarette smoking among youth in Jujuy, Argentina.

INTRODUCTION: Latin America has the highest prevalence of tobacco use by youth. Higher media literacy, defined as the ability to analyze and evaluate media messages, has been associated with lower smoking among youth in the United States. The objective of this study was to determine whether media literacy related to smoking is independently associated with current smoking and susceptibility to future smoking in a sample of mostly indigenous youth in Jujuy, Argentina. METHODS: In 2006, a self-administered survey was conducted among 10th grade students sampled from 27 randomly selected urban and rural schools in Jujuy. Survey items measured smoking behavior (ever, never, and current), susceptibility to future smoking among never-smokers (definitely not accept a cigarette from a friend or to smoke in the future), 5 items assessing smoking media literacy (SML), and risk factors for smoking. RESULTS: Of the 3,470 respondents, 1,170 (34%) reported having smoked in the previous 30 days (current). Of the 1,430 students who had never smoked, 912 (64%) were susceptible to future smoking. High media literacy was present in 38%. Using multiple logistic regression, fully adjusted models showed that high media literacy was significantly associated as a protective factor of being a current smoker (odds ratio [OR] = 0.81; 95% CI = 0.67-0.97) and of being susceptible to future smoking (OR = 0.73; 95% CI = 0.58-0.92) among those who had never smoked. CONCLUSIONS: Among youth in Jujuy, higher SML was significantly associated with both lower current smoking and susceptibility to future smoking. Teaching SML may be a valuable component in a prevention intervention in this population.